Systems and Methods for Security Analysis of Applications on User Mobile Devices While Maintaining User Application Privacy

ABSTRACT

Systems and methods for analyzing applications (“apps”) on a mobile device for security risks for a company while maintaining the mobile device owner&#39;s privacy and confidentiality concerning the applications. The mobile device may be a user&#39;s personal device (a “bring your own device”). In an example method, a process generates one or more cryptographic representations of application information for each application on the mobile device. The cryptographic representations may comprise a hash or composite hash. Thee cryptographic representations may be transmit outside the mobile device to a system which makes a determination and provides an indication whether the application is permitted or not permitted for use at the company. The company can be associated with a hashed permitted or not permitted list. The application information can include application name, executable code, and a version number. The method may include automatically remediating the application if it matches a known risk.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a Continuation of U.S. patent application Ser. No.15/819,607 filed Nov. 21, 2017, which is a Continuation of U.S. patentapplication Ser. No. 14/929,067 filed Oct. 30, 2015 and issued as U.S.Pat. No. 9,838,391 on Dec. 5, 2017, which claims the benefit of U.S.Provisional Application No. 62/122,809, filed on Oct. 31, 2014. Thesubject matter of the aforementioned applications is incorporated hereinby reference for all purposes.

FIELD

The present technology is directed to computer security and riskanalysis, and more particularly to systems and methods that assess andmitigate risk posed by applications that execute on mobile devices. Thesystems and methods operate in such a way that the privacy andconfidentiality of the applications on the mobile devices aremaintained, while allowing for detection and remediation of riskenhanced applications. To be sure, these devices can operate on variousnetworks and pose risks to the network if the applications on the mobiledevices perform malicious or risk enhancing operations.

SUMMARY

According to various embodiments, the present technology is directed toa method comprising: (a) receiving a request from a computing device,the request comprising a cryptographic representation of applicationinformation for an application residing on a mobile device; (b)comparing the cryptographic representation to an application informationdatabase that comprises cryptographic representations of applicationsand information that indicates whether the applications are a securityrisk; and (c) automatically remediating the application if theapplication matches an application that is a known risk in the database.

According to various embodiments, the present technology is directed toa method, comprising: (a) generating a cryptographic representation ofapplication information for an application residing on a mobile device;(b) transmitting the cryptographic representation to an application riskcontrol system; and (c) receiving a message from the application riskcontrol system indicating whether the application is permitted or notpermitted. The cryptographic information can include a hash value of theexecutable code of the application, a name of the application, as wellas a version number for the application and a company name.

According to various embodiments, the present technology is directed toa system comprising: (a) a mobile device management system forcontrolling, at least in part, configuration of a mobile device, thecontrolling including controlling whether the mobile device is permittedto access an enterprise network with enterprise services; (b) anapplication risk control system that is configured to utilize: (i) anapplication information database that comprises application informationfor applications, the application information comprising at least one ofapplication behaviors, application names, cryptographic representationsof applications, and risk scores of applications; and (ii) anapplication cryptographic table that comprises cryptographicrepresentations of applications associated with at least one of awhitelist or a blacklist. In some embodiments, the application riskcontrol system is configured to: (1) receive a cryptographicrepresentation of application information for an application residing ona computing device, the computing device being used to access theenterprise network; (2) compare the cryptographic representation to theapplication information database and the application cryptographictable; and (3) automatically remediate the mobile device (e.g., from amobile device management system) if the application matches anapplication that is a known risk as determined from the comparison withthe application information database and the application cryptographictable.

According to various embodiments, the present technology is directed toa method, comprising: (a) receiving a request from a mobile device, therequest comprising at least one of: (i) a list of application behaviorsfor an application that resides on the mobile device, the request notcomprising identifying information for the application; (ii) acryptographic representation of the application; and (iii) a risk scorecalculated for the application; (b) comparing the list of applicationbehaviors to approved and disapproved application behaviors; (c)comparing a cryptographic representation of the application that resideson the mobile device to an application information database thatcomprises blacklisted and whitelisted applications; (d) comparing therisk score to a risk score threshold; (e) automatically remediating atleast one of the application and the mobile device if at least one of:(1) the list of application behaviors includes at least one disapprovedapplication behavior; (2) the cryptographic representation of theapplication matches a blacklisted application; and (3) the risk scoreexceeds the risk score threshold.

According to some embodiments, the application risk control system isconfigured to receive status communicated from the mobile device, thestatus being status regarding compliance or non-compliance, the statusbeing other than information about the applications on the mobiledevice.

According to some embodiments, automatically remediating can include,for example, transmitting a warning to a user of the mobile device or asystem administrator, quarantining the application, quarantining themobile device, to name a few remediations.

According to some embodiments, a designated application of theapplications resident on the mobile device makes the request (of themethod), the designated application being the only one of theapplications which knows the identity of the rest of the applications onthe mobile device, the designated application being configured forcommunicating the cryptographic representations for the applications tothe application risk control system outside the device, the applicationrisk control system being configured to perform the comparing and doesnot log the identity of the mobile device making the request, such thatidentifying information about the mobile device is not transferred fromthe mobile device.

According to some embodiments, a non-transitory computer-readablestorage medium is provided having embodied thereon instructions, which,when executed by at least one processor, perform steps of the methodaccording to the present technology.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, where like reference numerals refer toidentical or functionally similar elements throughout the separateviews, together with the detailed description below, are incorporated inand form part of the specification, and serve to further illustrateembodiments of concepts that include the claimed disclosure, and explainvarious principles and advantages of those embodiments.

The methods and systems disclosed herein have been represented whereappropriate by conventional symbols in the drawings, showing only thosespecific details that are pertinent to understanding the embodiments ofthe present disclosure so as not to obscure the disclosure with detailsthat will be readily apparent to those of ordinary skill in the arthaving the benefit of the description herein.

FIG. 1 is a schematic diagram of an example system for practicingaspects of the present technology.

FIG. 2 is a flowchart of a method of application risk analysis.

FIG. 3 is schematic flow diagram of a method for application riskanalysis and device remediation (e.g. quarantining).

FIG. 4 is a flowchart of another method of application risk analysis.

FIG. 5 is a schematic diagram of an example system for practicingaspects of the present technology.

FIG. 6 is a flowchart of a method of private or anonymized applicationrisk analysis.

FIG. 7 is a flowchart of another example method of private or anonymizedapplication risk analysis.

FIG. 8 is a schematic diagram of an example computer device that can beutilized to implement aspects of the present technology.

DETAILED DESCRIPTION

The present disclosure relates generally to risk scoring system andmethods which are configured to understand how applications on mobiledevices present risk to consumers and companies.

The present disclosure can be utilized by companies that allow employeesto bring their own mobile devices, such as smartphones, tablets, andwearables, into the company. It is also applicable to companies thatallow mobile devices to be used by employees where the company purchasesthe device. Various embodiments allow companies to assess risk thatapplications on user devices (e.g., clients) pose to the company, and tocontrol this risk. Various embodiments are also directed at consumerusers who wish to know if applications on their phones, tablets,wearable (or other end user computing devices) pose a risk to theirprivacy, have risks of data leakage, or are malicious—just to name afew.

In some embodiments, a risk score number is provided that provides asimple representation of a risk level associated with an application toa user or a company. This risk score may or may not be customized to thecompany or user, based on policies.

In some embodiments, a set of risk numbers is provided that provides adetailed risk score of an application to a user or a company. These risknumbers may or may not be customized to the company or user, based onpolicies. These risk numbers could be characterized into differentcategories such as privacy risk, data leak risk, account takeover risk,device takeover risk, and malware—just to name a few.

In another embodiment, the risk analysis system could connect directlyto a mobile device management system or similar computer and mobiledevice management system, to automatically provide instructions to thesystem to take actions based on the risk scores. Examples of actionsinclude quarantining or retiring the client.

In another embodiment, the risk analysis system could provide detailedinformation about any behaviors of the application which can becorrelated with external information. For example, the systems andmethods can correlate websites that an application communicates withagainst known websites operated by criminals.

According to some embodiments, the present technology may includevarious processes such as a deep analysis of an application's behavior,an overall risk scoring, transmission (e.g., communications) riskscoring, risk categorization, combination of categorized scores into asingle (composite) score, factoring the combined score by a publisherreputation, overriding scores (or prior to scoring) with whitelists andblacklists, and normalizing scores to a pre-defined range (for example0-10 or 0-100)—just to name a few.

Risk scoring may have more or fewer stages than described in the variousflowcharts herein, depending on the embodiment. The phases of themechanism could be re-ordered from the example flowcharts and still havethe same innovative results.

To be sure, the present technology can be implemented as a network-basedservice, accessible over the Internet or other computer network, whereapplications are collected or submitted for risk analysis. This servicecan be queried by reporting tools, investigators, end users, otherapplications, mobile device management systems, enterprise mobilitymanagement systems, data feed engines, as well as other technologieswhich would be known to one of ordinary skill in the art. In otherembodiments, the present technology can be implemented at the devicelevel or in an enterprise network.

These and other advantages of the present technology are provided hereinwith reference to the collective drawings.

FIG. 1 illustrates an exemplary architecture 100 for practicing aspectsof the present technology. The architecture comprises a mobile devicemanagement system, hereinafter “system 105” that is configured toprovide various functionalities, which are described in greater detailthroughout this document. Generally the system 105 is configured tocommunicate with client devices, such as client device 115. The clientdevice 115 may include, for example, a Smartphone, a laptop, a computer,or other similar computing device. An example of a computing device thatcan be utilized in accordance with the present technology is describedin greater detail with respect to FIG. 5.

The system 105 may communicatively couple with the client device 115 viaa public or private network, such as network 120.

Suitable networks may include or interface with any one or more of, forinstance, a local intranet, a PAN (Personal Area Network), a LAN (LocalArea Network), a WAN (Wide Area Network), a MAN (Metropolitan AreaNetwork), a virtual private network (VPN), a storage area network (SAN),a frame relay connection, an Advanced Intelligent Network (AIN)connection, a synchronous optical network (SONET) connection, a digitalT1, T3, E1 or E3 line, Digital Data Service (DDS) connection, DSL(Digital Subscriber Line) connection, an Ethernet connection, an ISDN(Integrated Services Digital Network) line, a dial-up port such as aV.90, V.34 or V.34bis analog modem connection, a cable modem, an ATM(Asynchronous Transfer Mode) connection, or an FDDI (Fiber DistributedData Interface) or CDDI (Copper Distributed Data Interface) connection.Furthermore, communications may also include links to any of a varietyof wireless networks, including WAP (Wireless Application Protocol),GPRS (General Packet Radio Service), GSM (Global System for MobileCommunication), CDMA (Code Division Multiple Access) or TDMA (TimeDivision Multiple Access), cellular phone networks, GPS (GlobalPositioning System), CDPD (cellular digital packet data), RIM (Researchin Motion, Limited) duplex paging network, Bluetooth radio, or an IEEE802.11-based radio frequency network. The network 120 can furtherinclude or interface with any one or more of an RS-232 serialconnection, an IEEE-1394 (Firewire) connection, a Fiber Channelconnection, an IrDA (infrared) port, a SCSI (Small Computer SystemsInterface) connection, a USB (Universal Serial Bus) connection or otherwired or wireless, digital or analog interface or connection, mesh orother networking.

The system 105 generally comprises a processor, 130, a network interface135, and a memory 140. According to some embodiments, the memory 140comprises logic (e.g., instructions) 145 that can be executed by theprocessor 130 to perform various methods, which are described in greaterdetail herein.

In some embodiments, the system 105 can facilitate a virtual sandbox105A that is executed by a virtual machine 105B.

It will be understood that the functionalities described herein, whichare attributed to the system 105 may also be executed within the clientdevice 115. That is, the client device 115 may be programmed to executethe functionalities described herein. In other instances, the system 105and client device 115 may cooperate to provide the functionalitiesdescribed herein, such that the client device 115 is provided with aclient-side application that interacts with the system 105 such that thesystem 105 and client device 115 operate in a client/serverrelationship. Complex computational features may be executed by theserver 105, while simple operations that require fewer computationalresources may be executed by the client device 115, such as datagathering and data display.

In some embodiments, the client device 115 can be utilized by a user toaccess various enterprise services 150A-N. The client device 115 canalso store and execute one or more applications, such as application(s)155.

The execution of the application(s) 155 by the client may result indeleterious effects such as data leakage, malware, account takeover andother effects described herein. These effects can cause damage not onlyto the client device 115, but also the enterprise services 150A-N whenthe client device 115 accesses the enterprise services 150A-N over thenetwork 120.

Various embodiments of the present disclosure provide for the system 105to determine what applications reside on the client device 115 andperform one or more security verification processes on the applicationsto determine if the client device 115 can be allowed to access theenterprise services 150A-N.

The applications can be tested in a variety of manners and scoredvariously by the system 105 to determine their risk levels. Again, theserisks involve not only possible deleterious effects to the client device115 but also other clients on the network 120 and any enterpriseservices 150A-N.

FIG. 2 is a flowchart of an example method 200 that can be implementedwithin the system 105 described above. In one example, the method beginswhen a client device attempts to access an enterprise network and one ormore enterprise services such as email, databases, security, or otherservices. The system 105 can evaluate applications on the client deviceto determine a risk level therefor. In another example, the methodbegins when a client device desires to determine a risk level for one ormore applications that are available for download (or already installedon the client device).

In either of these examples, the method may include executing atoperation 202, an application in a computing device or a virtualenvironment. An example virtual environment could include a sandboxenvironment on a virtual machine created by the system 105. In anotherembodiment, the application can be executed on a test client device andmonitored by the system 105 for various behaviors, as will be describedin greater detail infra.

In some embodiments, the application can be evaluated without directlyor indirectly executing the application in a sandbox or on a physicalcomputing device. For example, some facets of risk can be evaluatedwithout executing the application such as developer reputation analysisor an analysis of the name of the application against a black or whitelist of application names. Furthermore, static analysis may beperformed, in some embodiments, without executing the application. Thus,operation 202 is optional (shown dashed) based upon the type ofapplication risk analysis/evaluation being performed.

The method may comprise evaluating at operation 204 the application forprivacy, data leakage, or malicious behavior—just to name a few. Ingeneral, with respect to privacy, an application that leaks a user'sprivate information to a third party server is a privacy risk.Information usually considered private includes, but is not limited to,geolocation data, network connectivity, email addresses, contacts, andother user specific information. Other types of private informationinclude health information, banking information, authenticationinformation, and so forth. Data leakage can refer generally to anapplication has the potential to transmit data to a third party serveror a network observer. In more detail, applications that transmitunencrypted data, or connect to file sharing services have a high dataleak risk. Similarly, some applications can automatically send data froma device, or allow users to upload data to untrusted third partyservices. These applications can pose data leak risk.

With respect to malicious behavior, malware is a category of applicationthat was built with criminal intent. Applications that place phone callsor send text messages to expensive paid offshore numbers are commonexamples. Applications that use a mobile device as a proxy for spam orphishing, send users to phishing websites, or use known brand nameswithout their permission are also malware. Again, these are merelyexamples of malicious behaviors that can be detected by the system 105.Thus, the system 105 is configured to evaluate the application for awide variety of known malware related activities.

Each of these application facets such as privacy, data leakage, ormalicious behavior are comprised of numerous application behaviors forwhich the system 105 will monitor and log. As these behaviors areidentified, the system 105 can score these behaviors and createindividual scores for privacy, data leakage, or malicious behavior. Invarious embodiments, the calculation take into account (e.g., in therisk score calculation) not only the type of risk presented, but alsothe nature of the risk. For example, the severity of a risk associatedwith permissions will be higher if the permissions' risk involves theapplication accessing the device's camera as compared to the applicationmerely accessing the Internet. In another example, the risk score can bescaled higher if the application looks up the device's hardwareidentification and allows tracking of the user and the device, or, foranother example, the application attempts to write device securitysettings which are usually malicious. In another non-limiting example,merely accessing a network connection by the application presents onelevel of risk factored in, whereas an application that can read thelow-level system log file, which could expose other application data isgiven a much higher weight for affecting the risk score. Other examplesand factors for the score calculation are described further herein.Examples of evaluating a plurality of applications on a mobile devicefor privacy, data leakage, or malicious behavior; calculating a riskscore for each of the plurality of applications based on the evaluating;determining whether each of the plurality of applications meets orexceeds a risk score threshold; and automatically remediating theapplications, of the plurality of applications, for which the risk scoremeets or exceeds the risk score threshold, are found in commonlyassigned U.S. application Ser. No. 14/918,535, entitled “Systems andMethods for Application Security Analysis”, filed Oct. 20, 2015 andincorporated by reference herein.

Next, the method can include the system 105 calculating, at operation206, a risk score for the application based on the privacy, dataleakage, or malicious behavior that is determined for the application.In some embodiments, this score is a composite (e.g., average orweighted combination) of the privacy, data leakage, or maliciousbehavior scores calculated from the various behaviors determined for theapplication. The score can be normalized to a number that falls within arange of zero to 10, where zero indicates no risk whatsoever and 10indicates an extreme danger.

The method may comprise the system 105 automatically, at operation 208,remediating the application if the risk score for the application meetsor exceeds a risk score threshold. For example, a risk score thresholdof five can be set in some embodiments. Thus, any application with arisk score that exceeds five will be remediated (e.g., quarantined orretired—to name a few possible remediation options).

Quarantining a mobile device (e.g., client device) is a remediationoption when administrator-defined risk threshold settings are exceeded.The system 105 can temporarily restricts access to enterprise servicesby using administrator defined labels (e.g. “Quarantine-Level-1”) in thesystem. Devices are automatically removed from quarantine when the userbrings the device back into compliance, typically by removing the riskyapplication.

An alternative to quarantining the client device includes retiring thedevice. A retired device will no longer be allowed to access managedenterprise resources, such as email, VPN and other enterprise services.In other embodiments, a warning can be transmitted to the client device

FIG. 3 illustrates another example application risk analysis method 300that can be performed using the system 105 of FIG. 1. In someembodiments, the system 105 performs seven distinct categories ofanalysis on an application before determining an overall risk score. Theapplication can undergo static, dynamic, and/or behavioral analysis todetermine whether the application contacts remote servers and sites,seeks permission to access private user information, encryptsinformation when transmitted, and the publisher's reputation—just toname a few. Again, other permutations of application behaviors can alsolikewise be analyzed.

In an initial operation 302 analysis of application behavior isperformed. To be sure, mobile applications are designed to perform anumber of operations, while also interacting with remote databases,servers and services, to deliver specific functionality. Each individualoperation is known as an application behavior.

In some embodiments, the system 105 categorizes five categories ofmalicious app behaviors, which include, but are not limited to dataleakage, account takeover, device takeover, privacy, and malware. Eachof these analyses will be described in greater detail below.

On a more generalized level, the system 105 can perform static analyses,behavior analysis, and dynamic analyses. In general, a static analysisat operation 304 can be performed to determine any differences betweendeclared permissions of an application, and what the code for theapplication specifies. With risky applications there is frequently adisparity between stated permissions and coded permissions. As describedabove, static analysis may be performed without executing theapplication.

With respect to behavior analyses at operation 306, the application canbe executed in a physical or virtual environment (such as a sandbox) tounderstand operations of the application, what data is accessed by theapplication (on the client device or on a network resource), and wheredata is sent during execution of the application.

A dynamic analysis at operation 308 involves the system 105 analyzingthe behaviors of the application over time. This can include the system105 simulating different user behaviors and different network topologiesagainst the application. For a non-limiting example of such simulating,the system 105 may create “fake” email, social media or other accountsfor the mobile device and/or user along with fake credentials, and thenmonitor whether an application on the mobile device (or other devices)attempt to access the fake account and attempt to engage in othersuspicious activity. In various embodiments, this suspicious activitynegatively affects the application and publisher score.

In another embodiment, the method comprises the system 105 performing arisk scoring and/or risk attribute analysis at operation 310. Bydefinition, a risk attribute is a detailed action taken by anapplication that contributes to increasing risk. Many permutations ofrisk attributes may be analyzed and contribute to the overall risk scoreof an application. There may be more or less risk attributes, dependingon the embodiment. Typically, the term risk attribute is synonymous withrisky behavior of an application. For example, an application that islikely to leak data is more risky than an application that does not leakdata. Other examples of risky behavior are described throughout thisdescription.

Another score that can be calculated by the system 105 includesperforming a transmissions risk scoring at operation 312 (also referredto as network reputation scoring). In some embodiments, this includesthe system 105 conducting an analysis of how the applicationcommunicates with websites, servers, IP addresses, and other networkresources. For instance, a server that is operated by a trusted companywill have a better network reputation than a server that is known tohost phishing or malware sites, or has been involved in electronic crimeactivities. If an application is found to communicate with a riskynetwork resource, the application's overall risk score will increase, aswell as any individual scores calculated for transmissions risk. Thus,in some embodiments, the transmissions risk can include a score for anetwork resource(s) contacted or utilized by the application.

In another embodiment, the method can include performing a risk categoryanalysis at operation 314 where the system 105 groups pluralities ofdangerous application behaviors into a plurality of specific riskcategories. In some embodiments, the risk categories can include privacyrisk, data leak risk, account takeover risk, device takeover risk andmalware risk. These scores can be utilized by the system to calculate acomponent risk score. In some embodiments, a highest of these individualrisk scores becomes the composite risk score. In other embodiments therecould be more or fewer risk categories added to the component riskscore. In some embodiments, there is no component risk score, butapplication behaviors are grouped into risk categories for futurereference.

An account takeover risk occurs when an application has access orcontrol to authentication credentials for a user account. One exampleincludes an application that can transmit usernames and passwords foremail access. Other examples include authentication credentials forenterprise services or social networks. The account takeover risk mayinclude accessing an online account associated with the user of themobile device in an unauthorized way (i.e., in way that is notauthorized by the user). For instance, the account takeover risk mayinclude accessing the user's account in a way beyond the authorizationof a user, such as only being authorized to place an image in a cloudfile storage account, but also accessing other files at that account. Insome embodiments, the account takeover risk includes accessing of anonline account not associated with the user of the mobile device orauthorized for the application.

Data leak risk involves an application that has potential to transmitdata to a third party server or a network observer. Applications thattransmit unencrypted data to any third party can cause a data leak risk.Other examples include applications that transmit data from a device orallow a user to upload data to untrusted third party services.

With respect to device takeover risks, an application that can be (or isknown to) used by a third party to take control of the client device areknown as a takeover risk. Indicative actions of an application that hastakeover risk include transmission of hardware identificationinformation or violation of policies for accessing restrictedapplication programming interfaces (APIs). Other example actions includeany attempt to jailbreak or root the device are indicative of high risk.These actions are performed when the device is being used to installapplications or perform tasks not allowed by the hardware manufactureror network administrator.

Another risk involves malware. As mentioned above, malware is a categoryof application or service that was built with criminal intent. Forexample, applications that make phone calls or send text messages toexpensive paid offshore numbers are malware. Applications that use amobile device as a proxy for spam or phishing, send users to phishingwebsites, or use known brand names without their permission are alsomalware. These are merely examples of a few types of malware and areprovided as examples only. One of ordinary skill in the art willappreciate that other types of malware can be detected and included bythe system 105.

A privacy risk includes an application that leaks or exposes sensitiveinformation to a third party. Examples of private information include,but are not limited to, geolocation data, names, addresses, emailaddresses, contacts, network connectivity, account numbers, or anysensitive information designated under a state and/or federal law.

The method can also include at operation 316, a combination or composite(risk) score may be determined that summarizes the component risk score.The composite aspect may comprise, for example, an average or weightedcombination of the privacy, data leakage, or malicious behavior(component) scores calculated from the various behaviors determined forthe application. The composite score can be normalized to a number thatfalls within a range of zero to 10, where zero indicates no riskwhatsoever and 10 indicates an extreme danger.

The method may include defining attribute settings for the application.If any of these attributes are present, a notification to a systemadministrator can occur. These attributes can also cause behavioraloverrides, i.e., overriding the score otherwise calculated. In someembodiments, the attributes may include variously, for example, storingcredentials without encryption; accessing Bluetooth sharing; accessingthe Internet, external storage, or cloud file storage (for variousproviders); accessing an input method editor/Unique Device Identifier(IME/UDID); sending International Mobile Equipment Identity number(IMEI) which may be a serial number which identifies the user's mobiledevice; attempting to root or jailbreak the device; malware or spyware;accessing the user's address book, contacts, calendar, camera, ormicrophone Short Message Service (SMS) archive; and the applicationattempting to access analytics and crash reporting associate with themobile device and user.

In some embodiments, the method can include comparing various attributesof an application to a whitelist or blacklist. Applications matchingentries on the whitelist are automatically assigned a risk score ofzero. Conversely, matching entries on the whitelist are automaticallyassigned a risk score of ten, regardless of their behavior. Theseapplications can be defined in the lists by a system administrator orother information source that identifies safe and dangerousapplications.

In some embodiments, the method can include performing, at operation318, an analysis of publisher reputation. A publisher reputation scoreevaluates an overall risk of the complete catalogue of applications andtheir versions released by a specific publisher. Publishers that havereleased a single application, and those with very few downloads, willreceive a higher publisher risk score (and lower reputation) than apublisher with a numerous applications and thousands of downloads andpositive user reviews. Publisher reputation is used as one factor indetermining the risk of a specific, individual application (e.g., incalculating the risk score for an application). For example, twoapplications that have the exact same behaviors and risk scores willhave different risk scores if one comes from an unknown publisher, andone comes from a known publisher such as Twitter, Inc™ The applicationdeveloper can be placed onto the blacklist if their publisher reputationscore does not meet or exceed a publisher reputation score threshold. Insome embodiments, the method includes comparing the application to ablacklist of applications, wherein, if at least one of the applicationsand an application developer of the application is listed on theblacklist, the application is automatically remediated.

According to some embodiments, the method can include an overrideprocess where applications are initially scored by the system 105. Next,application overrides can be applied at operation 320 whereadministrators and users can be notified if certain behaviors are notpermitted or are considered by the system 105 to be risky.

As mentioned above, the client device executing the application can bequarantined or retired based on these overrides. In some embodiments, abehavior override can occur when the application accesses a service ornetwork resource that is restricted. For example, a system administratorcan determine that a cloud storage service is restricted. The system 105can warn the user when an attempt to access this resource occurs, aswell as warn an administrator. In some embodiments, the client device isquarantined or retired.

In some embodiments, the method includes the quarantining or otherremediation, at operation 322, of the client (e.g., mobile) device. Insome embodiments, the quarantining or other remediation may be for aperiod of time (e.g., days) to give a user time to take steps (e.g.,remove risky application(s)) to place the mobile device into compliancewhere quarantining or other remediation would no longer be warranted. Insome embodiments, during the period, the user may be given access toemail in order to notify the user that a fix is required to bring thedevice into compliance, and optionally, to also inform the user of theconsequences of failing to do so. If the user fails to take such steps,in this example, the device may be retired or other unconditionalquarantining or other remediation may be instituted.

Additional actions that can occur when a device or application violatesa policy include, but are not limited to, locking of the device. Forexample, when an application exceeds administrator-defined riskthreshold settings, a device can be locked, forcing the user to log outand log back in with the device password. Locking a device may also keepa user from accessing the device until it is unlocked by a third partyadministrator or software or online service.

Remediation can also occur. When an application exceedsadministrator-defined risk thresholds several remediation actions may betaken such as notify the user, warn the user, retire the device, orquarantine the device. There may be more remediation options, dependingon the embodiment.

Retiring a device is a remediation option when administrator-definedrisk threshold settings are exceeded in which the user is removed fromthe mobile device management (MDM) system, cutting off all MDM-managedenterprise access, such as email, calendaring, corporateapplications—just to name a few.

Quarantining a mobile device is a remediation option whenadministrator-defined risk threshold settings are exceeded in which thesystem temporarily restricts access to MDM-managed enterprise servicesby using administrator defined labels (e.g., “Quarantine-Level-1”) inthe MDM system. Devices are automatically removed from quarantine whenthe user brings the device back into compliance, typically by removingthe risky application. Thus, in some embodiments, the system 105 caninventory the applications on each client device before it accesses anyenterprise or network resources.

FIG. 4 is a flowchart for an exemplary method 400 for determining riskfor an application executing on a client device that is attempting toaccess network resources.

In some embodiments, the method includes receiving, at operation 402, arequest by a client device to access enterprise assets of an enterprisenetwork. Once the request is received, the method includes detecting, atoperation 404, applications that reside on the client device.

The method can then include a process for determining a risk score forapplications detected on the client device. The method can includeinitially comparing, at operation 406, the applications to a whitelistand blacklist. For applications not on the whitelist or blacklist, themethod can include monitoring, at operation 408, application behaviorsof an application. Again, this could include examining input and/oroutput of the application, as well as the network resources access bythe application (e.g., third party servers not within the enterprisenetwork).

The method can also include grouping, at operation 410, applicationbehaviors that indicate an increased risk relative into groupscomprising a privacy risk, a data leak risk, an account takeover risk, adevice takeover risk, and/or a malware risk.

Once the behaviors are grouped, the method can include calculating, atoperation 412, a risk score for the application based on the applicationbehaviors. In some embodiments, an intermediate step of calculatingscores for each of the risk groups can occur. The general risk score canbe a composite of these individual risk scores, selected combinations ofthe individual scores, weighted portions of individual scores, andcombinations thereof. A weighted score can be achieved by multiplying arisk group score by a weighting coefficient. For example, if one desiresthe privacy risk score to be weighted more heavily, a coefficient of 0.9can be applied to the privacy risk score. Conversely, if one desires thedata leak risk score to be weighted less heavily, a coefficient of 0.2can be applied to the data leak risk score.

The method may include automatically remediating (e.g., quarantining orother remediating options), at operation 414, the application if therisk score for the application meets or exceeds a risk score threshold.The method may include automatically remediating (e.g., quarantining orother remediating options), at operation 414, the application if therisk score for the application meets or exceeds a risk score threshold.

It will be understood that not all steps illustrated in FIGS. 2-4 arerequired in each embodiment. Various permutations and changes to themethods are contemplated.

As used herein, the term “engine”, “system”, “client”, “module”,“controller”, or “application” may also refer to any of anapplication-specific integrated circuit (“ASIC”), an electronic circuit,a processor (shared, dedicated, or group) that executes one or moresoftware or firmware programs, a combinational logic circuit, and/orother suitable components that provide the described functionality.

According to some embodiments, some enterprise networks or companies mayimplement privacy policies or end user agreements for users that specifythat privacy will be maintained with respect to identification ofapplications that reside on the user devices. These privacy policies canbe self-imposed or required by a state, federal, or international law.To these ends, it is desirable for companies to comply with any privacypolicies while at the same time protecting the integrity and security oftheir enterprise network. The following sections describe embodiments ofsystems and methods that provide for analysis of applications on userdevices while maintaining user application privacy.

In sum, these systems and methods allow companies to place restrictions,generate reports, or implement other controls on computing devices thathave installed applications, while preserving the privacy of the usersof the computing devices by not enabling the company or any third partysuppliers without disclosure or knowledge of what applications areinstalled on the computing devices.

For context, in corporate computing environments, mobile devices arebecoming increasingly prevalent. Employees are often using their owndevices to access corporate apps, data and computing resources.Companies are widely using Mobile Device Management (MDM) systems whichallow companies to provide controls over the configuration (such asinstalled applications and device behaviors) of mobile devices. In orderto manage the risk of applications on these devices, which might leakcorporate data, compromise the security or privacy of the users,companies are retrieving a list of the applications on user devices.These lists can be used in conjunction with applications risk scoringsystems (as described in greater detail above), anti-virus systems,blacklists and whitelists. However, this now exposes companies tovarious risks and regulatory compliance problems, because the companynow knows what applications are on a user's device. To be sure, usersmay be using personal devices (so-called Bring Your Own Device). In manyindustries companies are prohibited (either contractually or byoperation of law) from knowing what applications are on a user'spersonal device. For example, many companies have internal policiespreventing them from knowing what is on a user's device.

In some embodiments, an example system provides companies with controlsto prevent specific applications or applications with specifiedbehaviors from being used by employees. This control can occur withoutthe company having any visibility into what applications are being usedby the employees.

Companies may implement whitelists (permitted) and blacklists (notpermitted) of applications that may and may not be used on employeedevices; without requiring the devices to download or have a copy of theblacklists or whitelists, and without the company knowing whichapplications are on user's devices, according to various embodiments.

Various embodiments allow companies to restrict the applications thatmay be used on employee devices by certain behaviors of the applicationsagain, without knowing which applications reside on a user's device.

In some embodiments, the present technology allows companies to restrictthe applications that may be used on employee devices, by applying risksscores, anti-virus scores, malware analysis, and other analyses orcombinations of analyses.

A Mobile Device Management (MDM) system may be used to control theconfigurations and behaviors of the user devices. In variousembodiments, the MDM system and the company do not know whichapplications are on a user's device. That is, the MDM system may bewalled off from direct access to the mobile device and itsconfigurations.

A third party application risk scoring mechanism or service can be usedin conjunction with a Mobile Device Management system. In someembodiments, an application resides on a user's device whichcommunicates with the application risk scoring system.

In various embodiments, an application is installed/present on a user'sdevice which communicates with an application blacklist and whitelistsystem. This system can be implemented as a DNS responder or server. Insome embodiments, an application is present on a user's device whichcommunicates with an MDM system. These and other advantages will bedescribed in greater detail below.

Referring now to FIG. 5, a system 500 is illustrated which providesapplication risk mitigation as well as privacy for end users. The system500 generally comprises a mobile device management (MDM) system 502, anapplication risk control system 504, an application information database506, and an application cryptographic list or table 508.

These components 502-508 can communicate with a mobile device 510 thatcomprises one or more of a client-side application risk controlapplication 512, a cryptographic list 514 of application names and theirrespective cryptographic representations, a list 516 of applicationbehaviors, a list 518 of application cryptographic representations withwhitelists and/or blacklists, and application risk scores/values 519. Tobe sure, the lists enumerated can be implemented as a log or file. Eachof these lists can be implemented in a separate application or ASIC thatis dedicated to a particular functionality associated with the list. Insome embodiments, these features can be combined together into a singleapplication that communicates with the components 502-508 of the system500 as described in greater detail in the examples provided herein.

To be sure, each of the components of the system 500 can be implementedusing parts or components of the computer system of FIG. 8,notwithstanding the unique systematic components of the system 500 thatcreate a particular purpose computing system. Examples of these uniquecomponents include, but are not limited to, specific interfaces thatcontrol the flow of information to and from the various components ofthe system 500 which allow for application risk mitigation and userprivacy.

The MDM system 502, in general, can control configuration of mobiledevices, such as mobile device 510. The MDM system 502 may enforcerequired policies on the mobile devices including remediation actions. Aremediation action can include any action such as quarantining and/orretiring of an application, a mobile device, or both. A remediationaction can also include warning messages (e.g., notifications)transmitted to users and/or system administrators. In general, aremediation action may be any step taken by the MDM system 502 inresponse to determining an application poses a risk to an enterprisenetwork 520.

In various embodiments, the MDM system 502 can communicatively couplewith the application risk control system 504 using an administratorpolicy configuration interface 522. An administrator can configureapplication related policies of the application risk control system 504using the interface 522. The MDM system 502 can also implement a commandcontrol interface 524 that allows control commands to be exchangedbetween the MDM system 502 and the application risk control system 504.By way of example, the interface 524 allows for mobile deviceconfiguration changes, removal of the mobile device from the MDM system502, alert generation, and reporting to occur. In some embodiments, theapplication risk control system 504 uses the interface 524 when itdetermines that a policy has been violated by a mobile device, such aswhen the mobile device installs an application that poses a risk to theMDM system 502 or the enterprise network 520 (or even possibly themobile device 510). In some embodiments, the application risk controlsystem 504 is integrated into the MDM system 502.

The application risk control system 504 can communicate with mobiledevices. In some embodiments, the application risk control system 504can communicate directly with an operating system on the mobile device510 or with software integrated into an MDM client software on themobile device 510 such as the client-side application risk controlapplication 512.

In various embodiments, the application risk control system 504 allowsadministrators to configure controls that may include applicationwhitelists, application blacklists, application risk scoring thresholds,application behavioral restrictions, and remediation policies such asnotifications, quarantines and retiring devices from the MDM system 502.

In some embodiments, the application risk control system 504 does notreceive information that would allow the application risk control system504 to determine the applications on a user's device, thereby preservingthe privacy of the user. The application risk control system 504 can usedata obtained from the mobile device 510 to transmit policy enforcementcommands over interface 524 to the MDM system 502. Information used tomake these decisions includes information sent from the mobile device510 over communication channel 526. The communication channel 526 couldinclude any number of network connections used to access network, suchas the network of FIG. 1, described above.

For example, the application risk control system 504 can receive adevice identifier (such as a phone number, IMEI, MAC address, or otherhardware identifier), a risk score of applications on the mobile device510, a maximum risk score of any application on the mobile device 510,one or more behaviors of applications on the mobile device 510, and ifany applications are included on a blacklist. To be sure, these types ofinformation can be provided by the mobile device 510 and none of thesetypes of information allow the application risk control system 504 orthe MDM system 502 to determine the applications that reside on themobile device 510. Nevertheless, the information obtained can allow theapplication risk control system 504 or the MDM system 502 to makeinformed decisions about general and specific aspects of theapplications to determine if these applications or the mobile deviceshould be allowed to access the enterprise network. In variousembodiments, this type of configuration can provide fine-grained, yetapplication-anonymized controls.

In some embodiments, the client-side application risk controlapplication 512 will provide information such as risk score, maximumrisk score of an application, blacklist checking, and so forth.

As briefly mentioned above, the communication channel 526 between amobile device 510 and the application risk control system 504 couldcomprise the Internet, a WiFi connection, a cellular phone connection,or similar network connection that would be known to one of ordinaryskill in the art with the present disclosure before them. In variousembodiments, some identifying information about the mobile device 510 istypically included over this communication channel 526, but the list ofapplications on the device is not included.

The application information database 506 can comprise many types ofapplication specific information aggregated from various mobile devicesor other resources such as application developers and applicationstores. Example types of application information include applicationnames, code hashes (cryptographic representations of executable code foran application), information about application publishers, informationand analysis of application behaviors, assessments of risks ofapplications, and behavioral categorizations of applications. Thus, invarious embodiments, an application can be identified by matching any ofthese types of information. For example, when a mobile device provides acryptographic representation of an application's executable code, thiscryptographic representation can be queried against the applicationinformation database 506 for matching applications. Again, theinformation about the application itself can be de-identified such thatthe application name is not linked to the cryptographic representationof the code of the application. In exemplary embodiments, matching isperformed on a server other than a control server (e.g., for theapplication risk control system 504) where policies/rules are being set.In exemplary embodiments, this control server checks if mobile devicerepresentations are risky. In other embodiments, the control servercommunicates with a separate server that checks if the mobile devicerepresentations are risky.

The application information database 506 may allow mobile devices tocommunicate with the application information database 506 withoutproviding identifying information such as device hardware identifiers orcompany identifiers. In this way, the application information database506, in some embodiments, does not record which devices requestedinformation about which applications. This privacy feature can befacilitated by separating out application identifying or deviceidentifying information in total, or by only transmitting suchinformation on specific channels and to only specific components of thesystem 500.

In exemplary embodiments, a communication channel 528 is providedbetween a mobile device 510 and the application information database506. In this example, the identity of the mobile device 510 and anycompany, with which it is associated, is not sent over thiscommunication channel 528. Thus, the mobile device 510 can be configuredto intelligently transmit certain types of information on certainchannels to preserve the privacy of the user.

According to some embodiments, the mobile device 510 can query theapplication information database 506 with an application name, versionnumber, or a cryptographic representation of application identifyinginformation. The executable code may be cryptographically represented.

With respect to cryptographic representations, the mobile device 510 andsystem 500 can each utilize any form of cryptographic transformationsuch as hashing. Examples of hashing include, but are not limited to,MD5, SHA1, and SHA256.

It will be understood that, in some embodiments, the mobile device 510can send to the application information database 506 information aboutthe applications on the device, but does not send identifyinginformation (e.g., information that would allow the system 500 or thesystem administrator to know the exact identity of the application(s))about those to the application information database 506.

In some embodiments, the application information database 506 can informthe mobile device 510 that an application is not permitted, based on,for example, a risk score, blacklist, application behavior, orcombinations thereof. The mobile device can avoid sending information tothe application information database 506 about an application that isdetermined to be on a whitelist. In another embodiment, the mobiledevice 510 can avoid sending information to the application informationdatabase 506 about applications that are on the blacklist by simplynotifying the application information database 506 that one or moreapplications are on the blacklist and are installed on a mobile device510.

In yet another embodiment, the mobile device 510 can avoid sendinginformation to the application information database 506 aboutapplications with specific behaviors, merely indicating that one or moreapplications on the mobile device 510 have a certain behavior. In suchcases, the mobile device 510 may offer the user the option to deletesuch applications without informing the application information database506 about which applications are on the mobile device 510, or evenwithout informing the application information database 506 that aspecific user has an application with said behavior.

The application cryptographic list or table 508 can include a list ofcryptographic representations of application names which are associatedwith whitelists and blacklists. These whitelists or blacklists can becreated for a particular company or group of companies in someembodiments. In some embodiments, each company can have their ownwhitelist and blacklist, and this can be indicated either by a companyidentifier, and a list of application name cryptographicrepresentations, or the company identifier can be a component of theapplication name cryptographic representation for the whitelist andblacklist, enabling multiple companies to combine whitelists andblacklists into one database.

In some embodiments, the database could be served up as a DNS responderor through other specifically programmed computing means. The list ofapplication cryptographic representations does not require a mobiledevice to identify itself or the company to which it belongs. The mobiledevice 510 can query the application cryptographic list or table 508through a specific interface, e.g., 530 in the example in FIG. 5. Insome embodiments, the mobile device 510 utilizes a company identifierthat it sends to the application cryptographic list or table 508 as wellas the cryptographic representation of the name of the application. Thecryptographic representation of the application can be combined with aversion number, or the version number can be separate or omitted. Acryptographic representation of the name of the publisher of theapplication could be substituted for the cryptographic representation ofthe name of the application, in order to implement whitelists andblacklists across entire publishers instead of on an app-by-app basis.

In various embodiments, the communication channel or interface 530,between the mobile device 510 and the application cryptographic list ortable 508, is not used for transmitting identifying information aboutthe mobile device 510 and its users is typically. However, identifyinginformation about the company may be sent over interface 530 in order tosupport separate whitelists and blacklists for different companies. Invarious embodiments, if the application name cryptographic values arecombined with a specific company identifier by the mobile device 510,then no company identifying information is communicated over thischannel, as it is provided in the combined cryptographic representation.

The client-side application risk control application 512 on the mobiledevice 510 may be utilized to communicate with the various elements ofthe application risk control system 504, the application informationdatabase 506, and application cryptographic list or table 508. Theclient-side application risk control application 512 could, in someembodiments, display information about the installed applications to theuser of the mobile device 510.

As mentioned above, the client-side application risk control application512 may utilize various lists or databases. For example, the client-sideapplication risk control application 512 can utilize the cryptographiclist 514 of application names and their respective cryptographicrepresentations. Application name cryptographic representations couldoptionally be combined with application version numbers in someembodiments. The cryptographic representations could also be combinedwith a company name or identifier as part of the cryptographicrepresentation.

The list 516 of application behaviors for each application on the mobiledevice 510 may include whether the application reads a contact database,if the application communicates over the Internet, if the applicationsends SMS messages, if the application uses the device camera, if theapplication uses the device microphone, as well as other identifiablebehaviors or permissions of an application. These are merely examplebehaviors and one of skill in the art will recognize other behaviors. Tobe sure, these behaviors, either singly or in combination, can createsecurity risks. Therefore, an analysis of one or more applicationbehaviors can result in remediation of an application if such behaviorsare known to pose a security risk. The level and severity of remediationcan depend on the level of security risk posed, e.g., including retiringthe mobile device for very severe risks. Again, these processes canoccur without direct knowledge (such as an application name or developername) of the application that is associated with these behaviors.

In various embodiments, the list 518 of application cryptographicrepresentations with whitelists and/or blacklists includes informationthat is derived from the application cryptographic list or table 508,communicated over communication channel 530. These cryptographicrepresentations may be combined with the list of applications that areon the mobile device 510. In some embodiments, the mobile device 510sends a composite hash of the application identifier and the companyidentifier. This could be combined into a single hash identifier. Invarious embodiments, this allows multiple whitelists and blacklists formultiple companies to be provided by a single database of whitelists andblacklists, and prevents the whitelist and blacklist server from beingable to obtain information about the device identity and the companyidentity.

In some embodiments, the application risk scores/values 519 list can beobtained from the application information database 506. These could benumeric values between 0-10 or 0-100 or any another scoring range. Theserisks scores may be communicated to the application risk control system504 to enable it to make decisions about whether to issue commands overto the MDM system 502 to enforce policies on the mobile device 510.Additional details regarding the calculation of risk scores can be foundabove, e.g., with respect to description of FIGS. 1-4.

In FIG. 6, a method 600 of private or anonymized application riskanalysis is illustrated. The method comprises receiving 605 a requestfrom a computing device, such as the mobile device 510. In someembodiments, the request comprises a cryptographic representation ofapplication information for an application residing on a computingdevice. As mentioned above, the cryptographic representation ofapplication information can include a cryptographic hash of theapplication name. Another hash could be created from the executable codeof the application. Other identifying information can be hashed such asa version number or developer name. In various embodiments, thesevarious types of application identifying information are converted orde-identified through a cryptographic hashing process to remove orreduce the likelihood that the identity of the application can bedetermined.

Next, the exemplary method includes comparing 610 the cryptographicrepresentation to an application information database that comprisescryptographic representations of applications. This database may alsoinclude information for each application that determines if theapplication is a security risk or not. For example, the database caninclude risk scores, application behaviors, and other data that mayindicate if an application is a known security risk.

In various embodiments, if a match is determined between thecryptographic representation included in the request, and one or morecryptographic representations stored in the database, an analysis isconducted to determine if the matching cryptographic representationsstored in the database are known security risks.

If the match is determined to be associated with an application that isa known risk, the method can further comprise, at 615, automaticallyremediating the application if the application matches an applicationthat is a known risk in the database. The remediating may variouslyinclude notifications, quarantining and/or retiring the mobile device(e.g., from a mobile device management system) if the applicationmatches an application that is a known risk.

In addition to determining a match based on risk scores and behaviors,the exemplary method may also include determining 620 if thecryptographic representation in the request matches cryptographicrepresentations stored in a whitelist or a blacklist.

FIG. 7 is another method 700 of private or anonymized application riskanalysis. The method includes receiving, at operation 705, a requestfrom a computing device. The request comprises at least one of a list ofapplication behaviors for an application that resides on the computingdevice, the request not comprising identifying information for theapplication, a cryptographic representation of the application, and arisk score calculated for the application. Various combinations of thesefeatures can also be utilized. Also, individual features can also beused. For example, in some embodiments, the method can utilize onlyapplication behaviors to determine if the application is a risk or not.

Next, the method includes comparing, at operation 710, the list ofapplication behaviors to approved and disapproved application behaviors.Also, the method includes comparing, at operation 715, a cryptographicrepresentation of the application that resides on the computing deviceto an application information database that comprises blacklisted andwhitelisted applications. The method can also include comparing, atoperation 720, the risk score to a risk score threshold. To be sure,operations 710-720 can occur in series or parallel.

Remediation can occur if, at operation 730, the list of applicationbehaviors includes at least one disapproved application behavior.Remediation can occur if, at operation 735, the cryptographicrepresentation of the application matches a blacklisted applicationand/or if, at operation 740, the risk score violates the risk scorethreshold. Thus, a multifactorial analysis can be utilized to evaluatethe application for various aspects of risk. In some embodiments, themethod can include remediating, at operation 745, at least one of theapplication and the computing device if one or more of operations 730-40are found to be true.

As mentioned above, remediation can include quarantining or retiring theapplication or the mobile device, as described in greater detail above.

FIG. 8 is a diagrammatic representation of an example machine in theform of a computer system 1, within which a set of instructions forcausing the machine to perform any one or more of the methodologiesdiscussed herein may be executed. In various example embodiments, themachine operates as a standalone device or may be connected (e.g.,networked) to other machines. In a networked deployment, the machine mayoperate in the capacity of a server or a client machine in aserver-client network environment, or as a peer machine in apeer-to-peer (or distributed) network environment. The machine may be,for example, a base station, a personal computer (PC), a tablet PC, aset-top box (STB), a personal digital assistant (PDA), a cellulartelephone, a portable music player (e.g., a portable hard drive audiodevice such as an Moving Picture Experts Group Audio Layer 3 (MP3)player), a web appliance, a network router, switch or bridge, or anymachine capable of executing a set of instructions (sequential orotherwise) that specify actions to be taken by that machine. Further,while only a single machine is illustrated, the term “machine” shallalso be taken to include any collection of machines that individually orjointly execute a set (or multiple sets) of instructions to perform anyone or more of the methodologies discussed herein.

The example computer system 1 includes a processor or multipleprocessors 5 (e.g., a central processing unit (CPU), a graphicsprocessing unit (GPU), or both), and a main memory 10 and static memory15, which communicate with each other via a bus 20. The computer system1 may further include a video display 35 (e.g., a liquid crystal display(LCD)). The computer system 1 may also include an alpha-numeric inputdevice(s) 30 (e.g., a keyboard), a cursor control device (e.g., amouse), a voice recognition or biometric verification unit (not shown),a drive unit 37 (also referred to as disk drive unit), a signalgeneration device 40 (e.g., a speaker), and a network interface device45. The computer system 1 may further include a data encryption module(not shown) to encrypt data.

The drive unit 37 includes a computer or machine-readable medium 50 onwhich is stored one or more sets of instructions and data structures(e.g., instructions 55) embodying or utilizing any one or more of themethodologies or functions described herein. The instructions 55 mayalso reside, completely or at least partially, within the main memory 10and/or within static memory 15 and/or within the processors 5 duringexecution thereof by the computer system 1. The main memory 10, staticmemory 15, and the processors 5 may also constitute machine-readablemedia.

The instructions 55 may further be transmitted or received over anetwork via the network interface device 45 utilizing any one of anumber of well-known transfer protocols (e.g., Hyper Text TransferProtocol (HTTP)). While the machine-readable medium 50 is shown in anexample embodiment to be a single medium, the term “computer-readablemedium” should be taken to include a single medium or multiple media(e.g., a centralized or distributed database and/or associated cachesand servers) that store the one or more sets of instructions. The term“computer-readable medium” shall also be taken to include any mediumthat is capable of storing, encoding, or carrying a set of instructionsfor execution by the machine and that causes the machine to perform anyone or more of the methodologies of the present application, or that iscapable of storing, encoding, or carrying data structures utilized by orassociated with such a set of instructions. The term “computer-readablemedium” shall accordingly be taken to include, but not be limited to,solid-state memories, optical and magnetic media, and carrier wavesignals. Such media may also include, without limitation, hard disks,floppy disks, flash memory cards, digital video disks, random accessmemory (RAM), read only memory (ROM), and the like. The exampleembodiments described herein may be implemented in an operatingenvironment comprising software installed on a computer, in hardware, orin a combination of software and hardware.

Not all components of the computer system 1 are required and thusportions of the computer system 1 can be removed if not needed, such asInput/Output (I/O) devices (e.g., input device(s) 30). One skilled inthe art will recognize that the Internet service may be configured toprovide Internet access to one or more computing devices that arecoupled to the Internet service, and that the computing devices mayinclude one or more processors, buses, memory devices, display devices,input/output devices, and the like. Furthermore, those skilled in theart may appreciate that the Internet service may be coupled to one ormore databases, repositories, servers, and the like, which may beutilized in order to implement any of the embodiments of the disclosureas described herein.

The corresponding structures, materials, acts, and equivalents of allmeans or step plus function elements in the claims below are intended toinclude any structure, material, or act for performing the function incombination with other claimed elements as specifically claimed. Thedescription of the present technology has been presented for purposes ofillustration and description, but is not intended to be exhaustive orlimited to the present technology in the form disclosed. Manymodifications and variations will be apparent to those of ordinary skillin the art without departing from the scope and spirit of the presenttechnology. Exemplary embodiments were chosen and described in order tobest explain the principles of the present technology and its practicalapplication, and to enable others of ordinary skill in the art tounderstand the present technology for various embodiments with variousmodifications as are suited to the particular use contemplated.

Aspects of the present technology are described above with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems) and computer program products according to embodiments of thepresent technology. It will be understood that each block of theflowchart illustrations and/or block diagrams, and combinations ofblocks in the flowchart illustrations and/or block diagrams, can beimplemented by computer program instructions. These computer programinstructions may be provided to a processor of a general purposecomputer, special purpose computer, or other programmable dataprocessing apparatus to produce a machine, such that the instructions,which execute via the processor of the computer or other programmabledata processing apparatus, create means for implementing thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

These computer program instructions may also be stored in a computerreadable medium that can direct a computer, other programmable dataprocessing apparatus, or other devices to function in a particularmanner, such that the instructions stored in the computer readablemedium produce an article of manufacture including instructions whichimplement the function/act specified in the flowchart and/or blockdiagram block or blocks.

The computer program instructions may also be loaded onto a computer,other programmable data processing apparatus, or other devices to causea series of operational steps to be performed on the computer, otherprogrammable apparatus or other devices to produce a computerimplemented process such that the instructions which execute on thecomputer or other programmable apparatus provide processes forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods and computer program products according to variousembodiments of the present technology. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof code, which comprises one or more executable instructions forimplementing the specified logical function(s). It should also be notedthat, in some alternative implementations, the functions noted in theblock may occur out of the order noted in the figures. For example, twoblocks shown in succession may, in fact, be executed substantiallyconcurrently, or the blocks may sometimes be executed in the reverseorder, depending upon the functionality involved. It will also be notedthat each block of the block diagrams and/or flowchart illustration, andcombinations of blocks in the block diagrams and/or flowchartillustration, can be implemented by special purpose hardware-basedsystems that perform the specified functions or acts, or combinations ofspecial purpose hardware and computer instructions.

In the following description, for purposes of explanation and notlimitation, specific details are set forth, such as particularembodiments, procedures, techniques, etc. in order to provide a thoroughunderstanding of the present invention. However, it will be apparent toone skilled in the art that the present invention may be practiced inother embodiments that depart from these specific details.

Reference throughout this specification to “one embodiment” or “anembodiment” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment of the present invention. Thus, theappearances of the phrases “in one embodiment” or “in an embodiment” or“according to one embodiment” (or other phrases having similar import)at various places throughout this specification are not necessarily allreferring to the same embodiment. Furthermore, the particular features,structures, or characteristics may be combined in any suitable manner inone or more embodiments. Furthermore, depending on the context ofdiscussion herein, a singular term may include its plural forms and aplural term may include its singular form. Similarly, a hyphenated term(e.g., “on-demand”) may be occasionally interchangeably used with itsnon-hyphenated version (e.g., “on demand”), a capitalized entry (e.g.,“Software”) may be interchangeably used with its non-capitalized version(e.g., “software”), a plural term may be indicated with or without anapostrophe (e.g., PE's or PEs), and an italicized term (e.g., “N+1”) maybe interchangeably used with its non-italicized version (e.g., “N+1”).Such occasional interchangeable uses shall not be consideredinconsistent with each other.

Also, some embodiments may be described in terms of “means for”performing a task or set of tasks. It will be understood that a “meansfor” may be expressed herein in terms of a structure, such as aprocessor, a memory, an I/O device such as a camera, or combinationsthereof. Alternatively, the “means for” may include an algorithm that isdescriptive of a function or method step, while in yet other embodimentsthe “means for” is expressed in terms of a mathematical formula, prose,or as a flow chart or signal diagram.

The terminology used herein is for the purpose of describing particularembodiments only and is not intended to be limiting of the invention. Asused herein, the singular forms “a”, “an” and “the” are intended toinclude the plural forms as well, unless the context clearly indicatesotherwise. It will be further understood that the terms “comprises”and/or “comprising,” when used in this specification, specify thepresence of stated features, integers, steps, operations, elements,and/or components, but do not preclude the presence or addition of oneor more other features, integers, steps, operations, elements,components, and/or groups thereof.

It is noted that the terms “coupled,” “connected”, “connecting,”“electrically connected,” etc., are used interchangeably herein togenerally refer to the condition of being electrically/electronicallyconnected. Similarly, a first entity is considered to be in“communication” with a second entity (or entities) when the first entityelectrically sends and/or receives (whether through wireline or wirelessmeans) information signals (whether containing data information ornon-data/control information) to the second entity regardless of thetype (analog or digital) of those signals. It is further noted thatvarious figures (including component diagrams) shown and discussedherein are for illustrative purpose only, and are not drawn to scale.

If any disclosures are incorporated herein by reference and suchincorporated disclosures conflict in part and/or in whole with thepresent disclosure, then to the extent of conflict, and/or broaderdisclosure, and/or broader definition of terms, the present disclosurecontrols. If such incorporated disclosures conflict in part and/or inwhole with one another, then to the extent of conflict, the later-dateddisclosure controls.

The terminology used herein can imply direct or indirect, full orpartial, temporary or permanent, immediate or delayed, synchronous orasynchronous, action or inaction. For example, when an element isreferred to as being “on,” “connected” or “coupled” to another element,then the element can be directly on, connected or coupled to the otherelement and/or intervening elements may be present, including indirectand/or direct variants. In contrast, when an element is referred to asbeing “directly connected” or “directly coupled” to another element,there are no intervening elements present. The description herein isillustrative and not restrictive. Many variations of the technology willbecome apparent to those of skill in the art upon review of thisdisclosure. For example, the technology is not limited to use forstopping email threats, but applies to any messaging threats includingemail, social media, instant messaging, and chat.

While various embodiments have been described above, it should beunderstood that they have been presented by way of example only, and notlimitation. The descriptions are not intended to limit the scope of theinvention to the particular forms set forth herein. To the contrary, thepresent descriptions are intended to cover such alternatives,modifications, and equivalents as may be included within the spirit andscope of the invention as defined by the appended claims and otherwiseappreciated by one of ordinary skill in the art. Thus, the breadth andscope of a preferred embodiment should not be limited by any of theabove-described exemplary embodiments.

What is claimed is:
 1. A method, comprising: generating at least onecryptographic representation for a company identifier and at least onetype of application information for an application residing on a mobiledevice, the at least one type of application information comprising anapplication name, the at least one cryptographic representation being acomposite hash of both the application name and the company identifier;transmitting the at least one cryptographic representation fordetermination of whether the application is permitted for a companyidentified by the company identifier; and receiving the determinationindicating whether the application is permitted for the company, thecompany being associated with a company specific permitted list or notpermitted list comprising composite hashes of application names andcompany identifiers.
 2. The method of claim 1, further comprising, inresponse to a request to install another application on the mobiledevice, generating at least one other cryptographic representation of atleast one type of application information for the other application, theat least one other cryptographic representation being a composite hashof both the other application name and the company identifier;transmitting the at least one other cryptographic representation fordetermination of whether the other application is permitted for thecompany, and receiving the determination indicating whether the otherapplication is permitted or not permitted for the company associatedwith the company identifier.
 3. The method of claim 1, furthercomprising transmitting one or more application behaviors for theapplication without transmitting an identity of the application andwithout transmitting identifying information of the mobile device. 4.The method of claim 1, further comprising associating an applicationversion with the at least one cryptographic representation.
 5. Themethod of claim 1, wherein the at least one type of applicationinformation further comprises executable code of the application.
 6. Themethod of claim 1, wherein the at least one type of applicationinformation further comprises a version number of the application. 7.The method of claim 1, wherein the at least one cryptographicrepresentation further includes a composite hash value of the companyidentifier, the appliction name, executable code of the application anda version number for the application.
 8. The method of claim 1, whereinthe application is one of a plurality of applications on the mobiledevice, the generation of the at least one cryptographic representation,the transmission of the at least one cryptographic representation, andthe receipt of the determination being performed for each of theplurality of applications.
 9. The method of claim 1, wherein thedetermination is performed using an application information database.10. The method of claim 1, where the determination is determinedautomatically by a processor configured to: receive the at least onecryptographic representation of the at least one type of applicationinformation for the application residing on the mobile device; comparethe at least one cryptographic representation to an applicationinformation database and an application cryptographic table, theapplication information database comprising application information fora plurality of applications, the application information comprising atleast one of application behaviors, application names, cryptographicrepresentations of applications, and risk scores of applications, andthe application cryptographic table comprising the cryptographicrepresentations of applications associated with at least one of apermitted list or a not permitted list; and automatically remediate themobile device if the application matches an application that is a knownrisk as determined from the comparison with the application informationdatabase and the application cryptographic table, wherein theremediating comprises at least one of quarantining the application andretiring the mobile device.
 11. The method of claim 1, furthercomprising detecting the application residing on the mobile device inresponse to a request by the mobile device to access network resourcesof the company.
 12. A system, comprising: a processor; and a memory forstoring executable instructions, the instructions being executed by theprocessor to: generating at least one cryptographic representation for acompany identifier and at least one type of application information foran application residing on a mobile device, the at least one type ofapplication information comprising an application name, the at least onecryptographic representation being a composite hash of both theapplication name and the company identifier; transmitting the at leastone cryptographic representation for determination of whether theapplication is permitted for a company identified by the companyidentifier; and receiving the determination indicating whether theapplication is permitted for the company, the company being associatedwith a company specific permitted list or not permitted list comprisingcomposite hashes of application names and company identifiers.
 13. Thesystem of claim 12, the instructions being executed by the processor tofurther transmit one or more application behaviors for the applicationwithout transmitting an identity of the application and withouttransmitting the device identifying information of the mobile device.14. The system of claim 12, the instructions being executed by theprocessor to further associate an application version with thecryptographic representation.
 15. The system of claim 12, wherein the atleast one type of application information comprises executable code ofthe application.
 16. The system of claim 12, wherein the at least onetype of application information comprises a version number of theapplication.
 17. The system of claim 12, wherein the at least onecryptographic representation further includes a composite hash value ofthe company identifier, the appliction name, executable code of theapplication and a version number for the application.
 18. The system ofclaim 12, wherein the application is one of a plurality of applicationson the mobile device, the instructions being executed by the processorto evaluate each of the plurality of applications.
 19. The system ofclaim 12, wherein the determination is performed using an applicationrisk control system configured to: receive the at least onecryptographic representation of the at least one type of applicationinformation for the application residing on the mobile device; comparethe at least one cryptographic representation to an applicationinformation database and an application cryptographic table, theapplication information database comprising application information fora plurality of applications, the application information comprising atleast one of application behaviors, application names, cryptographicrepresentations of applications, and risk scores of applications, andthe application cryptographic table comprising the cryptographicrepresentations of applications associated with at least one of apermitted list or a not permitted list; and automatically remediate themobile device if the application matches an application that is a knownrisk as determined from the comparison with the application informationdatabase and the application cryptographic table, wherein theremediating comprises at least one of quarantining the application andretiring the mobile device.
 20. A method, comprising: generating atleast one cryptographic representation for a company identifier and atleast one type of application information for an application residing ona mobile device, the at least one type of application informationcomprising an application name, the at least one cryptographicrepresentation being a composite hash of both the application name andthe company identifier; transmitting the at least one cryptographicrepresentation for determination of whether the application is permittedto access an enterprise network with enterprise services of a companyassociated with the company identifie; and receiving the determinationin the form of a message from an application risk control systemindicating whether the application is permitted or not permitted toaccess the enterprise network with the enterprise services of thecompany associated with the company identifier, the indication based ona risk score calculated for the application, wherein the company isassociated with a company specific permitted list and not permitted listeach comprising composite hashes of application names and companyidentifiers.